Dirty air: The federal government has enacted maximum allowable standards for air pollutants such as ozone. Let X be the number of days per year that the level of air pollution exceeds the standard in a certain city. The probability distribution of X is given by Xx P(x) Part: 0 / 2 Part 1 of 2 μx (a) Compute the mean ux. Round the answer to three decimal places as needed. = Part: 1 / 2 Part 2 of 2 ox 0 0.33 1 2 3 4 0.36 0.17 0.1 0.04 (b) Compute the standard deviation ox. Round the answer to three decimal places as needed. = X

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**Dirty Air: Analyzing Air Pollution Exceedance**

The federal government has set maximum allowable standards for air pollutants such as ozone. In this scenario, let \( X \) represent the number of days per year that air pollution levels surpass these standards in a particular city. The probability distribution of \( X \) is provided in the table below:

\[
\begin{array}{c|ccccc}
x & 0 & 1 & 2 & 3 & 4 \\
\hline
P(x) & 0.33 & 0.36 & 0.17 & 0.10 & 0.04 \\
\end{array}
\]

**Part 1 of 2**

(a) *Calculate the Mean (\( \mu_X \)):*

To find the mean of \( X \), compute the expected value as follows:

\[
\mu_X = \sum (x \cdot P(x))
\]

Round your final answer to three decimal places.

**Part 2 of 2**

(b) *Calculate the Standard Deviation (\( \sigma_X \)):*

To determine the standard deviation, calculate:

\[
\sigma_X = \sqrt{\sum [(x - \mu_X)^2 \cdot P(x)]}
\]

Again, round your answer to three decimal places.
Transcribed Image Text:**Dirty Air: Analyzing Air Pollution Exceedance** The federal government has set maximum allowable standards for air pollutants such as ozone. In this scenario, let \( X \) represent the number of days per year that air pollution levels surpass these standards in a particular city. The probability distribution of \( X \) is provided in the table below: \[ \begin{array}{c|ccccc} x & 0 & 1 & 2 & 3 & 4 \\ \hline P(x) & 0.33 & 0.36 & 0.17 & 0.10 & 0.04 \\ \end{array} \] **Part 1 of 2** (a) *Calculate the Mean (\( \mu_X \)):* To find the mean of \( X \), compute the expected value as follows: \[ \mu_X = \sum (x \cdot P(x)) \] Round your final answer to three decimal places. **Part 2 of 2** (b) *Calculate the Standard Deviation (\( \sigma_X \)):* To determine the standard deviation, calculate: \[ \sigma_X = \sqrt{\sum [(x - \mu_X)^2 \cdot P(x)]} \] Again, round your answer to three decimal places.
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